def test_claim_objects(ptm):
"""``claim_objects`` claims & returns unclaimed rows up to a limit."""
blobs = [
perftest_json(testrun={"date": "1330454755"}),
perftest_json(testrun={"date": "1330454756"}),
perftest_json(testrun={"date": "1330454757"}),
]
for blob in blobs:
ptm.store_test_data(blob)
rows1 = ptm.claim_objects(2)
# a separate worker with a separate connection
from datazilla.model import PerformanceTestModel
dm2 = PerformanceTestModel(ptm.project)
rows2 = dm2.claim_objects(2)
loading_rows = ptm.sources["objectstore"].dhub.execute(
proc="objectstore_test.counts.loading")[0]["loading_count"]
assert len(rows1) == 2
# second worker asked for two rows but only got one that was left
assert len(rows2) == 1
# all three blobs were fetched by one of the workers
assert set([r["json_blob"] for r in rows1 + rows2]) == set(blobs)
# the blobs are all marked as "loading" in the database
assert loading_rows == 3
def set_test_data(request, project=""):
"""
Post a JSON blob of data for the specified project.
Store the JSON in the objectstore where it will be held for
later processing.
"""
#####
#This conditional provides backwords compatibility with
#the talos production environment. It should
#be removed after the production environment
#is uniformaly using the new url format.
####
if project == 'views':
project = 'talos'
# default to bad request if the JSON is malformed or not present
status = 400
try:
json_data = request.POST['data']
except KeyError:
result = {"status":"No POST data found"}
else:
unquoted_json_data = urllib.unquote(json_data)
error = None
try:
json.loads( unquoted_json_data )
except ValueError as e:
error = "Malformed JSON: {0}".format(e.message)
result = {"status": "Malformed JSON", "message": error}
else:
result = {
"status": "well-formed JSON stored",
"size": len(unquoted_json_data),
}
try:
dm = PerformanceTestModel(project)
id = dm.store_test_data(unquoted_json_data, error)
dm.disconnect()
except Exception as e:
status = 500
result = {"status": "Unknown error", "message": str(e)}
else:
location = "/{0}/refdata/objectstore/json_blob/{1}".format(
project, str(id)
)
result['url'] = request.build_absolute_uri(location)
if not error:
status = 200
return HttpResponse(json.dumps(result), mimetype=APP_JS, status=status)
def graphs(request, project=""):
####
#Load any signals provided in the page
####
signals = []
time_ranges = utils.get_time_ranges()
for s in SIGNALS:
if s in request.POST:
signals.append( { 'value':urllib.unquote( request.POST[s] ),
'name':s } )
###
#Get reference data
###
ptm = PerformanceTestModel(project)
json_data = ptm.get_test_reference_data()
ptm.disconnect()
time_key = 'days_30'
data = { 'time_key':time_key,
'reference_json':json_data,
'signals':signals }
####
#Caller has provided the view parent of the signals, load in page.
#This occurs when a data view is in its Pane form and is detached
#to exist on it's own page.
####
parent_index_key = 'dv_parent_dview_index'
if parent_index_key in request.POST:
data[parent_index_key] = request.POST[parent_index_key]
return render_to_response('graphs.views.html', data)
def handle_project(self, project, **options):
debug = options.get("debug", None)
max_iterations = int(options.get("iterations", 50))
ptm = PerformanceTestModel(project)
sql_targets = {}
cycle_iterations = max_iterations
while cycle_iterations > 0:
sql_targets = ptm.cycle_data(sql_targets)
if debug:
print "Iterations: {0}".format(str(cycle_iterations))
print "sql_targets"
print sql_targets
cycle_iterations -= 1
if sql_targets['total_count'] == 0:
cycle_iterations = 0
ptm.disconnect()
def test_claim_objects(ptm):
"""``claim_objects`` claims & returns unclaimed rows up to a limit."""
blobs = [
perftest_json(testrun={"date": "1330454755"}),
perftest_json(testrun={"date": "1330454756"}),
perftest_json(testrun={"date": "1330454757"}),
]
for blob in blobs:
ptm.store_test_data(blob)
rows1 = ptm.claim_objects(2)
# a separate worker with a separate connection
from datazilla.model import PerformanceTestModel
dm2 = PerformanceTestModel(ptm.project)
rows2 = dm2.claim_objects(2)
loading_rows = ptm.sources["objectstore"].dhub.execute(
proc="objectstore_test.counts.loading")[0]["loading_count"]
assert len(rows1) == 2
# second worker asked for two rows but only got one that was left
assert len(rows2) == 1
# all three blobs were fetched by one of the workers
assert set([r["json_blob"] for r in rows1 + rows2]) == set(blobs)
# the blobs are all marked as "loading" in the database
assert loading_rows == 3
def handle_project(self, project, **options):
debug = options.get("debug", None)
max_iterations = int(options.get("iterations", 50))
ptm = PerformanceTestModel(project)
sql_targets = {}
cycle_iterations = max_iterations
while cycle_iterations > 0:
sql_targets = ptm.cycle_data(sql_targets)
if debug:
print "Iterations: {0}".format(str(cycle_iterations))
print "sql_targets"
print sql_targets
cycle_iterations -= 1
if sql_targets['total_count'] == 0:
cycle_iterations = 0
ptm.disconnect()
def load_test_collection(project):
ptm = PerformanceTestModel(project)
products = ptm.get_products('id')
product_names = {}
for id in products:
if products[ id ]['product'] and \
products[ id ]['version'] and \
products[ id ]['branch']:
name = get_test_collection_name(
products[ id ]['product'],
products[ id ]['version'],
products[ id ]['branch']
)
product_names[name] = id
test_collection_names = ptm.get_test_collection_set()
new_name_set = set(
product_names.keys()
).difference( test_collection_names )
for new_name in new_name_set:
id = ptm.set_test_collection(new_name, "")
ptm.set_test_collection_map(id, product_names[ new_name ])
ptm.cache_ref_data()
ptm.disconnect()
def handle_project(self, project, options):
self.stdout.write("Processing project {0}\n".format(project))
loadlimit = int(options.get("loadlimit", 1))
dm = PerformanceTestModel(project)
dm.process_objects(loadlimit)
dm.disconnect()
def cache_test_summaries(project):
ptm = PerformanceTestModel(project)
###
#New reference data could be found in the cached data
#summary structures. Update the reference data cached
#every time the sumary data is cached.
###
ptm.cache_ref_data()
ptm.cache_default_project()
data_iter = ptm.get_all_summary_cache()
key_test = []
for d in data_iter:
for data in d:
key = utils.get_summary_cache_key(
project,
data['item_id'],
data['item_data'],
)
rv = cache.set(key, zlib.compress(data['value']))
if not rv:
msg = "ERROR: Failed to store object in memcache: %s, %s\n" % \
( str(data['item_id']), data['item_data'] )
sys.stderr.write(msg)
ptm.disconnect()
def dataview(request, project="", method=""):
proc_path = "perftest.views."
##Full proc name including base path in json file##
full_proc_path = "%s%s" % (proc_path, method)
if settings.DEBUG:
###
#Write IP address and datetime to log
###
print "Client IP:%s" % (request.META['REMOTE_ADDR'])
print "Request Datetime:%s" % (str(datetime.datetime.now()))
json = ""
if method in DATAVIEW_ADAPTERS:
dm = PerformanceTestModel(project)
pt_dhub = dm.sources["perftest"].dhub
if 'adapter' in DATAVIEW_ADAPTERS[method]:
json = DATAVIEW_ADAPTERS[method]['adapter'](project,
method,
request,
dm)
else:
if 'fields' in DATAVIEW_ADAPTERS[method]:
fields = []
for f in DATAVIEW_ADAPTERS[method]['fields']:
if f in request.GET:
fields.append( int( request.GET[f] ) )
if len(fields) == len(DATAVIEW_ADAPTERS[method]['fields']):
json = pt_dhub.execute(proc=full_proc_path,
debug_show=settings.DEBUG,
placeholders=fields,
return_type='table_json')
else:
json = '{ "error":"{0} fields required, {1} provided" }'.format(
(str(len(DATAVIEW_ADAPTERS[method]['fields'])),
str(len(fields))) )
else:
json = pt_dhub.execute(proc=full_proc_path,
debug_show=settings.DEBUG,
return_type='table_json')
dm.disconnect();
else:
json = '{ "error":"Data view name %s not recognized" }' % method
return HttpResponse(json, mimetype=APP_JS)
def _wrap_oauth(request, *args, **kwargs):
project = kwargs.get('project', None)
###
# Until the production environment for talos can make use of
# OAuth or use API/Keys we need to bypass OAuth to injest data.
# This needs to be removed as soon as talos can support OAuth.
###
if project in ['talos', 'views']:
return func(request, *args, **kwargs)
dm = PerformanceTestModel(project)
#Get the consumer key
key = request.REQUEST.get('oauth_consumer_key', None)
if key is None:
result = {"status": "No OAuth credentials provided."}
return HttpResponse(json.dumps(result),
content_type=APP_JS,
status=403)
try:
#Get the consumer secret stored with this key
ds_consumer_secret = dm.get_oauth_consumer_secret(key)
except DatasetNotFoundError:
result = {"status": "Unknown project '%s'" % project}
return HttpResponse(json.dumps(result),
content_type=APP_JS,
status=404)
#Construct the OAuth request based on the django request object
req_obj = oauth.Request(request.method, request.build_absolute_uri(),
request.REQUEST, '', False)
server = oauth.Server()
#Get the consumer object
cons_obj = oauth.Consumer(key, ds_consumer_secret)
#Set the signature method
server.add_signature_method(oauth.SignatureMethod_HMAC_SHA1())
try:
#verify oauth django request and consumer object match
server.verify_request(req_obj, cons_obj, None)
except oauth.Error:
status = 403
result = {"status": "Oauth verification error."}
return HttpResponse(json.dumps(result),
content_type=APP_JS,
status=status)
return func(request, *args, **kwargs)
def _wrap_oauth(request, *args, **kwargs):
project = kwargs.get('project', None)
###
# Until the production environment for talos can make use of
# OAuth or use API/Keys we need to bypass OAuth to injest data.
# This needs to be removed as soon as talos can support OAuth.
###
if project in ['talos', 'views']:
return func(request, *args, **kwargs)
dm = PerformanceTestModel(project)
#Get the consumer key
key = request.REQUEST.get('oauth_consumer_key', None)
if key is None:
result = {"status": "No OAuth credentials provided."}
return HttpResponse(
json.dumps(result), content_type=APP_JS, status=403)
try:
#Get the consumer secret stored with this key
ds_consumer_secret = dm.get_oauth_consumer_secret(key)
except DatasetNotFoundError:
result = {"status": "Unknown project '%s'" % project}
return HttpResponse(
json.dumps(result), content_type=APP_JS, status=404)
#Construct the OAuth request based on the django request object
req_obj = oauth.Request(request.method,
request.build_absolute_uri(),
request.REQUEST,
'',
False)
server = oauth.Server()
#Get the consumer object
cons_obj = oauth.Consumer(key, ds_consumer_secret)
#Set the signature method
server.add_signature_method(oauth.SignatureMethod_HMAC_SHA1())
try:
#verify oauth django request and consumer object match
server.verify_request(req_obj, cons_obj, None)
except oauth.Error:
status = 403
result = {"status": "Oauth verification error."}
return HttpResponse(
json.dumps(result), content_type=APP_JS, status=status)
return func(request, *args, **kwargs)
def dataview(request, project="", method=""):
proc_path = "perftest.views."
##Full proc name including base path in json file##
full_proc_path = "%s%s" % (proc_path, method)
if settings.DEBUG:
###
#Write IP address and datetime to log
###
print "Client IP:%s" % (request.META['REMOTE_ADDR'])
print "Request Datetime:%s" % (str(datetime.datetime.now()))
json = ""
if method in DATAVIEW_ADAPTERS:
dm = PerformanceTestModel(project)
pt_dhub = dm.sources["perftest"].dhub
if 'adapter' in DATAVIEW_ADAPTERS[method]:
json = DATAVIEW_ADAPTERS[method]['adapter'](project, method,
request, dm)
else:
if 'fields' in DATAVIEW_ADAPTERS[method]:
fields = []
for f in DATAVIEW_ADAPTERS[method]['fields']:
if f in request.GET:
fields.append(int(request.GET[f]))
if len(fields) == len(DATAVIEW_ADAPTERS[method]['fields']):
json = pt_dhub.execute(proc=full_proc_path,
debug_show=settings.DEBUG,
placeholders=fields,
return_type='table_json')
else:
json = '{ "error":"{0} fields required, {1} provided" }'.format(
(str(len(DATAVIEW_ADAPTERS[method]['fields'])),
str(len(fields))))
else:
json = pt_dhub.execute(proc=full_proc_path,
debug_show=settings.DEBUG,
return_type='table_json')
dm.disconnect()
else:
json = '{ "error":"Data view name %s not recognized" }' % method
return HttpResponse(json, mimetype=APP_JS)
def cache_test_summaries(project):
ptm = PerformanceTestModel(project)
###
#New reference data could be found in the cached data
#summary structures. Update the reference data cached
#every time the sumary data is cached.
###
ptm.cache_ref_data()
ptm.cache_default_project()
data_iter = ptm.get_all_summary_cache()
for d in data_iter:
for data in d:
key = utils.get_summary_cache_key(
project,
data['item_id'],
data['item_data'],
)
rv = cache.set(key, zlib.compress( data['value'] ))
if not rv:
msg = "ERROR: Failed to store object in memcache: %s, %s\n" % \
( str(data['item_id']), data['item_data'] )
sys.stderr.write(msg)
ptm.disconnect()
def set_default_products(project):
ptm = PerformanceTestModel(project)
products = ptm.get_products('id')
versions = [products[id]['version'] for id in products]
#sort version strings
versions.sort(key=lambda s: map(numeric_prefix, s.split('.')),
reverse=True)
if versions:
current_version = versions[0]
default_count = 0
for id in products:
default = 0
if current_version == products[id]['version']:
default_count += 1
#Don't load more than 10 datasets by default
if default_count <= 10:
default = 1
ptm.set_default_product(id, default)
ptm.cache_default_project()
def pytest_sessionstart(session):
"""
Set up the test environment.
Set DJANGO_SETTINGS_MODULE, adds the vendor lib, and sets up a test
database.
"""
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "datazilla.settings.base")
add_vendor_lib()
from django.conf import settings
from django.test.simple import DjangoTestSuiteRunner
# we don't actually let Django run the tests, but we need to use some
# methods of its runner for setup/teardown of dbs and some other things
session.django_runner = DjangoTestSuiteRunner()
# this provides templates-rendered debugging info and locmem mail storage
session.django_runner.setup_test_environment()
# support custom db prefix for tests for the main datazilla datasource
# as well as for the testproj and testpushlog dbs
prefix = getattr(settings, "TEST_DB_PREFIX", "")
settings.DATABASES["default"]["TEST_NAME"] = "{0}test_datazilla".format(prefix)
# this sets up a clean test-only database
session.django_db_config = session.django_runner.setup_databases()
# store the name of the test project/pushlog based on user custom settings
session.perftest_name = "{0}testproj".format(prefix)
session.pushlog_name = "{0}testpushlog".format(prefix)
increment_cache_key_prefix()
from datazilla.model import PerformanceTestModel, PushLogModel
ptm = PerformanceTestModel.create(
session.perftest_name,
cron_batch="small",
)
PushLogModel.create(project=session.pushlog_name)
# patch in additional test-only procs on the datasources
objstore = ptm.sources["objectstore"]
del objstore.dhub.procs[objstore.datasource.key]
objstore.dhub.data_sources[objstore.datasource.key]["procs"].append(
os.path.join(
os.path.abspath(os.path.dirname(__file__)),
"objectstore_test.json",
)
)
objstore.dhub.load_procs(objstore.datasource.key)
perftest = ptm.sources["perftest"]
del perftest.dhub.procs[perftest.datasource.key]
perftest.dhub.data_sources[perftest.datasource.key]["procs"].append(
os.path.join(
os.path.abspath(os.path.dirname(__file__)),
"perftest_test.json",
)
)
perftest.dhub.load_procs(perftest.datasource.key)
def handle_project(self, project, **options):
self.stdout.write("Processing project {0}\n".format(project))
pushlog_project = options.get("pushlog_project", 'pushlog')
loadlimit = int(options.get("loadlimit", 1))
debug = options.get("debug", None)
test_run_ids = []
ptm = PerformanceTestModel(project)
test_run_ids = ptm.process_objects(loadlimit)
ptm.disconnect()
"""
metrics_exclude_projects = set(['b2g', 'games', 'jetperf', 'marketapps', 'microperf', 'stoneridge', 'test', 'webpagetest'])
if project not in metrics_exclude_projects:
#minimum required number of replicates for
#metrics processing
replicate_min = 5
compute_test_run_metrics(
project, pushlog_project, debug, replicate_min, test_run_ids
)
"""
mtm = MetricsTestModel(project)
revisions_without_push_data = mtm.load_test_data_all_dimensions(
test_run_ids)
if revisions_without_push_data:
revision_nodes = {}
plm = PushLogModel(pushlog_project)
for revision in revisions_without_push_data:
node = plm.get_node_from_revision(
revision, revisions_without_push_data[revision])
revision_nodes[revision] = node
plm.disconnect()
mtm.set_push_data_all_dimensions(revision_nodes)
mtm.disconnect()
def pytest_sessionstart(session):
"""
Set up the test environment.
Set DJANGO_SETTINGS_MODULE, adds the vendor lib, and sets up a test
database.
"""
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "datazilla.settings.base")
add_vendor_lib()
from django.conf import settings
from django.test.simple import DjangoTestSuiteRunner
# we don't actually let Django run the tests, but we need to use some
# methods of its runner for setup/teardown of dbs and some other things
session.django_runner = DjangoTestSuiteRunner()
# this provides templates-rendered debugging info and locmem mail storage
session.django_runner.setup_test_environment()
# support custom db prefix for tests for the main datazilla datasource
# as well as for the testproj and testpushlog dbs
prefix = getattr(settings, "TEST_DB_PREFIX", "")
settings.DATABASES["default"]["TEST_NAME"] = "{0}test_datazilla".format(
prefix)
# this sets up a clean test-only database
session.django_db_config = session.django_runner.setup_databases()
# store the name of the test project/pushlog based on user custom settings
session.perftest_name = "{0}testproj".format(prefix)
session.pushlog_name = "{0}testpushlog".format(prefix)
increment_cache_key_prefix()
from datazilla.model import PerformanceTestModel, PushLogModel
ptm = PerformanceTestModel.create(
session.perftest_name,
cron_batch="small",
)
PushLogModel.create(project=session.pushlog_name)
# patch in additional test-only procs on the datasources
objstore = ptm.sources["objectstore"]
del objstore.dhub.procs[objstore.datasource.key]
objstore.dhub.data_sources[objstore.datasource.key]["procs"].append(
os.path.join(
os.path.abspath(os.path.dirname(__file__)),
"objectstore_test.json",
))
objstore.dhub.load_procs(objstore.datasource.key)
perftest = ptm.sources["perftest"]
del perftest.dhub.procs[perftest.datasource.key]
perftest.dhub.data_sources[perftest.datasource.key]["procs"].append(
os.path.join(
os.path.abspath(os.path.dirname(__file__)),
"perftest_test.json",
))
perftest.dhub.load_procs(perftest.datasource.key)
def pytest_funcarg__ptm(request):
"""
Give a test access to a PerformanceTestModel instance.
"""
from datazilla.model import PerformanceTestModel
ptm = PerformanceTestModel(request._pyfuncitem.session.perftest_name)
request.addfinalizer(partial(truncate, ptm, ["metric", "metric_value"]))
return ptm
def handle_project(self, project, **options):
self.stdout.write("Processing project {0}\n".format(project))
pushlog_project = options.get("pushlog_project", 'pushlog')
loadlimit = int(options.get("loadlimit", 1))
debug = options.get("debug", None)
test_run_ids = []
ptm = PerformanceTestModel(project)
test_run_ids = ptm.process_objects(loadlimit)
ptm.disconnect()
metrics_exclude_projects = set(['b2g', 'stoneridge'])
if project not in metrics_exclude_projects:
#minimum required number of replicates for
#metrics processing
replicate_min = 5
compute_test_run_metrics(
project, pushlog_project, debug, replicate_min, test_run_ids
)
def set_default_products(project):
ptm = PerformanceTestModel(project)
products = ptm.get_products('id')
versions = [ products[id]['version'] for id in products ]
#sort version strings
versions.sort(
key=lambda s: map(numeric_prefix, s.split('.')), reverse=True
)
if versions:
current_version = versions[0]
default_count = 0
for id in products:
default = 0
if current_version == products[id]['version']:
default_count += 1
#Don't load more than 10 datasets by default
if default_count <= 10:
default = 1
ptm.set_default_product(id, default)
ptm.cache_default_project()
def pytest_sessionfinish(session):
"""Tear down the test environment, including databases."""
print("\n")
from django.conf import settings
from datazilla.model import PerformanceTestModel, PushLogModel
import MySQLdb
source_list = PerformanceTestModel(session.perftest_name).sources.values()
source_list.extend(PushLogModel(project=session.pushlog_name).sources.values())
for sds in source_list:
conn = MySQLdb.connect(
host=sds.datasource.host,
user=settings.DATAZILLA_DATABASE_USER,
passwd=settings.DATAZILLA_DATABASE_PASSWORD,
)
cur = conn.cursor()
cur.execute("DROP DATABASE {0}".format(sds.datasource.name))
conn.close()
session.django_runner.teardown_databases(session.django_db_config)
session.django_runner.teardown_test_environment()
def graphs(request, project=""):
####
#Load any signals provided in the page
####
signals = []
time_ranges = utils.get_time_ranges()
for s in SIGNALS:
if s in request.POST:
signals.append({
'value': urllib.unquote(request.POST[s]),
'name': s
})
###
#Get reference data
###
ptm = PerformanceTestModel(project)
json_data = ptm.get_test_reference_data()
ptm.disconnect()
time_key = 'days_30'
data = {
'time_key': time_key,
'reference_json': json_data,
'signals': signals
}
####
#Caller has provided the view parent of the signals, load in page.
#This occurs when a data view is in its Pane form and is detached
#to exist on it's own page.
####
parent_index_key = 'dv_parent_dview_index'
if parent_index_key in request.POST:
data[parent_index_key] = request.POST[parent_index_key]
return render_to_response('graphs.views.html', data)
def pytest_sessionfinish(session):
"""Tear down the test environment, including databases."""
print("\n")
from django.conf import settings
from datazilla.model import PerformanceTestModel, PushLogModel
import MySQLdb
source_list = PerformanceTestModel(session.perftest_name).sources.values()
source_list.extend(
PushLogModel(project=session.pushlog_name).sources.values())
for sds in source_list:
conn = MySQLdb.connect(
host=sds.datasource.host,
user=settings.DATAZILLA_DATABASE_USER,
passwd=settings.DATAZILLA_DATABASE_PASSWORD,
)
cur = conn.cursor()
cur.execute("DROP DATABASE {0}".format(sds.datasource.name))
conn.close()
session.django_runner.teardown_databases(session.django_db_config)
session.django_runner.teardown_test_environment()
def pytest_runtest_teardown(item):
"""
Per-test teardown.
Roll back the Django ORM transaction and truncates tables in the
test PerformanceTestModel database.
"""
from django.test.testcases import restore_transaction_methods
from django.db import transaction
from datazilla.model import PerformanceTestModel
restore_transaction_methods()
transaction.rollback()
transaction.leave_transaction_management()
ptm = PerformanceTestModel(item.session.perftest_name)
truncate(ptm, set(['metric', 'metric_value']))
def build_test_summaries(project):
ptm = PerformanceTestModel(project)
time_ranges = utils.get_time_ranges()
products = ptm.get_products()
for product_name in products:
for tr in ['days_7', 'days_30']:
table = ptm.get_test_run_summary(str(time_ranges[tr]['start']),
str(time_ranges[tr]['stop']),
[products[product_name]], [], [])
json_data = json.dumps(table)
ptm.set_summary_cache(products[product_name], tr, json_data)
ptm.disconnect()
def handle_project(self, project, **options):
""" Create databases for a new project based on the options value. """
cron_batch = options.get("cron_batch")
hosts = dict(
perftest=options.get("perftest_host"),
objectstore=options.get("objectstore_host"),
)
types = dict(
perftest=options.get("perftest_type"),
objectstore=options.get("objectstore_type"),
)
dm = PerformanceTestModel.create(
project,
hosts=hosts,
types=types,
cron_batch=cron_batch,
)
self.stdout.write("Perftest project created: {0}\n".format(project))
dm.disconnect()
def handle_project(self, project, **options):
""" Create databases for a new project based on the options value. """
cron_batch = options.get("cron_batch")
hosts = dict(
perftest=options.get("perftest_host"),
objectstore=options.get("objectstore_host"),
)
types = dict(
perftest=options.get("perftest_type"),
objectstore=options.get("objectstore_type"),
)
dm = PerformanceTestModel.create(
project,
hosts=hosts,
types=types,
cron_batch=cron_batch,
)
self.stdout.write("Perftest project created: {0}\n".format(project))
dm.disconnect()
def build_test_summaries(project):
ptm = PerformanceTestModel(project)
time_ranges = utils.get_time_ranges()
products = ptm.get_products()
for product_name in products:
for tr in ['days_7', 'days_30']:
table = ptm.get_test_run_summary(str( time_ranges[tr]['start']),
str( time_ranges[tr]['stop']),
[ products[ product_name ] ],
[],
[])
json_data = json.dumps( table )
ptm.set_summary_cache( products[ product_name ], tr, json_data )
ptm.disconnect()
def get_ptm(self, product):
product = product.lower()
if not product in self.models:
self.models[product] = PerformanceTestModel(product)
return self.models[product]
def handle(self, *args, **options):
""" Transfer data to a development project based on the args value. """
host = options.get("host")
dev_project = options.get("dev_project")
prod_project = options.get("prod_project")
branch = options.get("branch")
days_ago = options.get("days_ago")
logfile = options.get("logfile")
if not host:
self.println("You must supply a host name to retrieve data from " +
"--host hostname")
return
if not dev_project:
self.println("You must supply a dev_project name to load data in.")
return
if not branch:
self.println("You must supply a branch name to retrieve data for.")
return
#Set timeout so we don't hang
timeout = 120
socket.setdefaulttimeout(timeout)
revisions_uri = 'refdata/pushlog/list'
params = 'days_ago={0}&branches={1}'.format(days_ago, branch)
url = "https://{0}/{1}?{2}".format(host, revisions_uri, params)
json_data = ""
#Retrieve revisions to iterate over
try:
response = urllib.urlopen(url)
json_data = response.read()
except socket.timeout:
self.stdout.write("URL: {0}\nTimedout {1} seconds\n".format(
url, timeout))
sys.exit(0)
data = json.loads(json_data)
all_keys = data.keys()
all_keys.sort()
##Keep track of revision already loaded##
file_obj = open(logfile, 'w+')
revisions_seen = set()
for line in file_obj.readlines():
revisions_seen.add(line.strip())
revisions = []
for key in all_keys:
for revision in data[key]['revisions']:
if revision not in revisions_seen:
revisions.append(revision)
dm = PerformanceTestModel(dev_project)
for revision in revisions:
rawdata_uri = '{0}/testdata/raw/{1}/{2}/'.format(
prod_project, branch, revision)
rawdata_url = "https://{0}/{1}".format(host, rawdata_uri)
raw_json_data = ""
try:
rawdata_response = urllib.urlopen(rawdata_url)
raw_json_data = rawdata_response.read()
except socket.timeout:
self.stdout.write("URL: {0}\nTimedout {1} seconds\n".format(
rawdata_url, timeout))
sys.exit(0)
test_object_data = json.loads(raw_json_data)
for test_object in test_object_data:
id = dm.store_test_data(json.dumps(test_object), "")
self.stdout.write("Revision:{0} Id:{1}\n".format(
revision, str(id)))
#Record the revision as loaded
file_obj.write(revision + "\n")
file_obj.close()
dm.disconnect()
def handle(self, *args, **options):
""" Transfer data to a development project based on the args value. """
host = options.get("host")
dev_project = options.get("dev_project")
prod_project = options.get("prod_project")
branch = options.get("branch")
days_ago = options.get("days_ago")
logfile = options.get("logfile")
if not host:
self.println("You must supply a host name to retrieve data from " +
"--host hostname")
return
if not dev_project:
self.println("You must supply a dev_project name to load data in.")
return
if not branch:
self.println("You must supply a branch name to retrieve data for.")
return
#Set timeout so we don't hang
timeout = 120
socket.setdefaulttimeout(timeout)
revisions_uri = 'refdata/pushlog/list'
params = 'days_ago={0}&branches={1}'.format(days_ago, branch)
url = "https://{0}/{1}?{2}".format(host, revisions_uri, params)
json_data = ""
#Retrieve revisions to iterate over
try:
response = urllib.urlopen(url)
json_data = response.read()
except socket.timeout:
self.stdout.write( "URL: {0}\nTimedout {1} seconds\n".format(
url, timeout
) )
sys.exit(0)
data = json.loads(json_data)
all_keys = data.keys()
all_keys.sort()
##Keep track of revision already loaded##
file_obj = open(logfile, 'w+')
revisions_seen = set()
for line in file_obj.readlines():
revisions_seen.add(line.strip())
revisions = []
for key in all_keys:
for revision in data[key]['revisions']:
if revision not in revisions_seen:
revisions.append(revision)
dm = PerformanceTestModel(dev_project)
for revision in revisions:
rawdata_uri = '{0}/testdata/raw/{1}/{2}/'.format(
prod_project, branch, revision
)
rawdata_url = "https://{0}/{1}".format(host, rawdata_uri)
raw_json_data = ""
try:
rawdata_response = urllib.urlopen(rawdata_url)
raw_json_data = rawdata_response.read()
except socket.timeout:
self.stdout.write( "URL: {0}\nTimedout {1} seconds\n".format(
rawdata_url, timeout) )
sys.exit(0)
test_object_data = json.loads(raw_json_data)
for test_object in test_object_data:
id = dm.store_test_data( json.dumps(test_object), "" )
self.stdout.write( "Revision:{0} Id:{1}\n".format(revision, str(id)))
#Record the revision as loaded
file_obj.write(revision + "\n")
file_obj.close()
dm.disconnect()
def load_test_collection(project):
ptm = PerformanceTestModel(project)
products = ptm.get_products('id')
product_names = {}
for id in products:
if products[ id ]['product'] and \
products[ id ]['version'] and \
products[ id ]['branch']:
name = get_test_collection_name(products[id]['product'],
products[id]['version'],
products[id]['branch'])
product_names[name] = id
test_collection_names = ptm.get_test_collection_set()
new_name_set = set(product_names.keys()).difference(test_collection_names)
for new_name in new_name_set:
id = ptm.set_test_collection(new_name, "")
ptm.set_test_collection_map(id, product_names[new_name])
ptm.cache_ref_data()
ptm.disconnect()
def set_test_data(request, project=""):
"""
Post a JSON blob of data for the specified project.
Store the JSON in the objectstore where it will be held for
later processing.
"""
#####
#This conditional provides backwords compatibility with
#the talos production environment. It should
#be removed after the production environment
#is uniformaly using the new url format.
####
if project == 'views':
project = 'talos'
# default to bad request if the JSON is malformed or not present
status = 400
try:
json_data = request.POST['data']
except KeyError:
result = {"status": "No POST data found"}
else:
unquoted_json_data = urllib.unquote(json_data)
error = None
deserialized_json = {}
try:
deserialized_json = json.loads(unquoted_json_data)
except ValueError as e:
error = "Malformed JSON: {0}".format(e.message)
result = {"status": "Malformed JSON", "message": error}
else:
result = {
"status": "well-formed JSON stored",
"size": len(unquoted_json_data),
}
try:
dm = PerformanceTestModel(project)
dm.pre_process_data(unquoted_json_data, deserialized_json)
id = dm.store_test_data(unquoted_json_data, error)
dm.disconnect()
except Exception as e:
status = 500
result = {"status": "Unknown error", "message": str(e)}
else:
location = "/{0}/refdata/objectstore/json_blob/{1}".format(
project, str(id))
result['url'] = request.build_absolute_uri(location)
if not error:
status = 200
return HttpResponse(json.dumps(result), mimetype=APP_JS, status=status)